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About us Founded in 2008, CitNOW is an innovative, enterprise-level software product suite that allows automotive dealerships globally to sell more vehicles and parts more profitably. CitNOW’s app-based platform provides a secure, brand-compliant solution – for dealers to build trust, transparency and long-lasting relationships. CitNOW Group was formed in 2021 to unite a portfolio of 12 global software companies leveraging innovation to aid retailers and manufacturers in delivering an outstanding customer experience. We have over 300 employees worldwide who all contribute to our vision to provide market-leading automotive solutions to drive efficiencies, seamlessly transforming every customer moment. The CitNOW Group is no ordinary technology company, we live a series of One Team values and this guiding principle forms the foundation of CitNOW Group’s award winning, collaborative and inclusive culture. About the role CitNOW Group has rapidly expanded through multiple acquisitions, creating an exciting ecosystem of platforms, applications and data landscapes. We are seeking an experienced Enterprise Architect to define and implement a group-wide architecture strategy that unifies these systems within a cohesive, scalable and future-ready environment, enabling us to accelerate innovation in a secure and scalable manner. We’re seeking strong expertise in enterprise architecture, with a proven track record in post-merger and acquisition integration. The ideal candidate will have deep knowledge of integration platforms, data architecture and cloud technologies, combined with excellent communication and stakeholder management skills to influence effectively across diverse business units. This role is critical in harmonising technology across acquired entities, ensuring seamless integration, robust data architecture and alignment with our vision for connected automotive dealer platforms. Key responsibilities include: Group-Wide Architecture Strategy • Develop and maintain a unified enterprise architecture framework that spans all acquired businesses, • Define standards and blueprints for integration, data architecture, and core enterprise systems Integration & Consolidation • Lead the design of integration strategies to connect disparate platforms, applications, and processes across the group and with external third-parties, • Oversee consolidation of legacy systems while enabling interoperability with modern automotive software solutions Data Architecture & Governance • Establish a group-wide data architecture to ensure consistency, quality, and accessibility of information, • Implement governance frameworks for master data management, analytics, and compliance with industry regulations Traditional Enterprise Architecture • Design and maintain models for business, application, and technology architectures, • Ensure scalability, security, and resilience across infrastructure and software platforms Innovation & Transformation • Identify opportunities to leverage emerging technologies (AI/ML, IoT, cloud-native, etc.) across the group, • Identify and drive modernisation initiatives such as microservices adoption, cloud migration and others. Collaboration & Leadership • Partner with leaders across acquired entities to align local systems with group-wide standards., • Provide mentorship and guidance to architects and technical teams, fostering a culture of collaboration and innovation We're looking for key skills in the following areas: Identity, access and security • SAML, Oauth2, JWTs, etc., • IDaaS platforms, preferably Keycloak, • SSO integration patterns, • Identity federation, • Zero-trust principles, RBAC, and the associated audit/governance Integration architecture • Event-driven architecture patterns (distributed design patterns more generally is an advantage), • API design, management, and governance, • Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture • Data modelling, cataloguing, and associated governance, • Data lakes, distributed storage, • Metadata management Cloud & Platform Architecture • Proficient in AWS, but familiarity with Azure/GCP also useful, • Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them), • IaC literacy (ideally Terraform) Software Architecture • Microservices, monoliths, hexagonal, etc, • Event sourcing and propagation, • Distributed systems behaviour (and the trade-offs, latency, redundancy, resilience), • Understanding of scalability, reliability, performance engineering, etc Architectural Governance • Establishing group architectural patterns without slowing down individual teams or reducing autonomy, • Creation of reference architectures for others to adopt and follow, • Standing up a matrixed group architecture function In addition to a competitive salary, our benefits package is second to none. Employee wellbeing is at the heart of our people strategy, with a number of innovative wellness initiatives such as flexi-time, where employees can vary their start and finish times within our core business hours and/or extend their lunch break by up to 2 hours per day. Employees also benefit from an additional two half days paid leave per year to focus on their personal wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates diversity across our international teams. We are passionate about creating an inclusive workplace where everyone’s individuality is valued. View our candidate privacy policy here - ___

🌟 Senior Data Scientist SME & AI Architect (10+ Years Experience) 🧠 We are seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural Language Processing (NLP). You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities • AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs), and specialized models in Computer Vision and NLP., • Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference., • Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency., • Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:, • Computer Vision: Developing and optimizing models for image recognition, object detection, and video analytics., • NLP: Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs., • Generative AI: Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features., • SME Consulting & Mentorship: Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams., • MLOps & Governance: Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment. Required Skills and Expertise (10+ Years) 1. Big Data and Cloud Mastery • Programming & Big Data: 10+ years of extensive, hands-on experience with Apache Spark, with strong preference for production development using Scala. Deep expertise with Apache Hive for data querying and management., • Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery)., • Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. Advanced AI/ML Specialization • Generative AI (GenAI) & LLMs: Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs)., • Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO)., • NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications. 3. Leadership & Soft Skills • Technical Leadership: Proven track record of leading complex data science projects from research to production deployment., • Communication: Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences., • Mentorship: Experience mentoring and training senior engineers and data scientists. Education and Certification • Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field., • Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.

Full Stack Engineer (Angular + Node.js) Shortlisting for interviews in January 2026. Details at a Glance · Position: Full Stack Engineer (Angular + Node.js) · Location: Remote (UK-based) with occasional team meetups in Manchester/London · Hours: 40 hours/week · Language: English (fluent) · Salary: starting from £45,000 depending on experience Overview At MYT Shutters, we are on a mission to expand and strengthen our software engineering team. Our company develops in-house advanced online ordering and automated production systems that are essential for our day-to-day business operations. These cutting-edge systems allow us to efficiently process customer orders and optimise the planning and manufacturing of our products. Company Background MYT Shutters is a rapidly expanding shutter manufacturer delivering high-quality window shutters worldwide. We run our own factory in the South of China and regularly develop innovative new products. We are a fast-growing, international team of dedicated professionals based around the world, with offices in Australia, The Netherlands, the United Kingdom, and China. About the Role We're hiring a Full Stack Engineer to help build and scale the systems behind our global manufacturing and logistics platform. You’ll work with Angular on the front end and Node.js / GraphQL (Apollo) on the back end, with PostgreSQL as the primary data store. The role involves working on both new features and core system components - encompassing business logic, data modelling, and database design - to ensure our systems remain robust, consistent, and maintainable. This is a hands-on engineering position suited to someone who understands how data and logic flow through a system, writes clean and well-structured code, and enjoys solving complex, real-world operational challenges. Tech Stack · Frontend: Angular, RxJS, TypeScript · Backend: Node.js, GraphQL, PostgreSQL, Apollo Server · Infra: AWS · Tooling: Nx monorepo, Playwright (E2E), GitHub Actions, CI/CD, ephemeral environments What You’ll Do · Build and maintain full-stack features spanning frontend, backend, and database layers. · Develop and maintain business logic, API endpoints, and data access layers. · Design and optimise relational database schemas and SQL queries. · Work with the team to refine requirements, clarify tickets, and ensure accurate implementation of functionality · Write clean, testable, and maintainable code · Integrate with and enhance GraphQL APIs and backend services · Contribute to GraphQL schema design and resolver implementation · Collaborate on improving build pipelines, CI/CD processes, and internal tooling · Participate in peer code reviews and uphold engineering quality standards · Work within an engineering culture focused on correctness, maintainability, and long-term reliability What We’re Looking ForRequired: · 2+ years software development experience · Commercial experience with Angular (v10+) · Strong proficiency in TypeScript and JavaScript · Familiar with RxJS and reactive programming concepts · Experience working with APIs (REST or GraphQL) · Some Node.js back-end experience (or willingness to grow in that area) · Good understanding of SOLID principles and clean architecture · Proficient with Git and modern source control workflows · Strong debugging and problem-solving ability · Clear communicator in a distributed, remote team · Ability to take ownership of features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production systems · Experience with CI/CD pipelines and containerised deployments Why Join Us? If you're excited by a clean stack, real-world problems, and a practical, technical team — we’d love to hear from you. What We Offer · A market competitive salary based on experience. · Professional development and training opportunities. · Work remotely. · Working in an international work environment, engaging in work relationships with colleagues across the globe. · 25 working days paid annual leave for 40 hours a week.

About PostGrid: PostGrid is a global leader in enterprise SaaS platform for automated offline communications. Our robust APIs empower organizations to create, personalize, and dispatch physical mail letters, postcards, checks, and more to any address on the globe without ever touching an envelope, while ensuring clean address data. Operating at massive scale across multiple regions, we’re redefining how brands connect with people beyond the inbox. If you’re driven to build category-defining technology and want to shape the future of offline communications, join our high-caliber team and help us transform the way the world sends mail. About The Team: The Logistics Operations team is the engine room of PostGrid. We are a dedicated group of engineers responsible for building the critical infrastructure that automates and optimises the physical movement of mail. Our mission is to create highly reliable, scalable, and efficient systems that manage everything from carrier selection and routing to order fulfilment and tracking. We work closely with our Operations and Product teams to transform complex, real-world logistics challenges into elegant technical solutions. What you’ll do: As a Software Engineer on the Logistics & Operations team, you will be at the heart of our core business. You will design, develop, and maintain the backend services and APIs that drive our global offline communication platform. Your work will directly impact our business efficiency and enable us to deliver on our promise of seamless, large-scale physical mail delivery across continents. Your Responsibilities: • System Architecture: Architect, develop, and maintain logistics-related backend services and APIs, including routing, batching, carrier selection, and Service Level Agreement (SLA) management., • Scalable Systems: Build and maintain scalable systems that manage delivery workflows across our network of print and mail fulfilment partners., • Automation & Efficiency: Drive operational efficiency by optimising internal tooling and automating manual interventions, streamlining processes such as shipment tracking and delivery exception handling., • External Integration: Design and implement robust integrations with external carriers and fulfilment APIs (e.g., FedEx, USPS, Royal Mail, Canada Post, etc.)., • Operational Excellence: Take ownership of production systems, proactively monitoring for and resolving bugs, delays, or bottlenecks within the fulfilment pipeline., • Cross-Functional Collaboration: Work closely with our Product and Operations teams to translate complex business requirements into elegant technical solutions., • Code Quality: Participate in code reviews, architectural discussions, and infrastructure planning to uphold a high standard of quality and maintainability What Will You Bring To This Role: You are a pragmatic problem-solver with a strong background in backend engineering and a passion for tackling real-world logistics challenges. You are comfortable building and maintaining scalable systems and have a solid understanding of how software can drive significant operational efficiency. You are a proactive collaborator who can work seamlessly across different departments to deliver impactful solutions. Minimum Requirements: • 3+ years of backend software engineering experience, ideally with Node.js, Python, or a similar language., • Proven experience building RESTful APIs and integrating with complex external systems., • Solid understanding of distributed systems, job queues, and microservice architectures., • Hands-on experience with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)., • Strong debugging and performance optimisation skills., • Ability to write clean, maintainable, and well-documented code. Preferred Qualifications: • Experience working with logistics, shipping APIs, or supply chain systems., • Familiarity with warehouse management systems, SLAs, or order management platforms., • Exposure to tools for task queuing and event streaming like RabbitMQ or Kafka., • Knowledge of monitoring and alerting tools such as Datadog, New Relic, or Sentry., • Prior experience working in a high-growth scale-up or fast-paced SaaS environment. Our Commitment to Diversity: PostGrid is an equal opportunity employer and values the diversity of backgrounds and perspectives. We strive to cultivate an inclusive environment of understanding to have a greater impact on our business and our customers. We encourage applicants from underrepresented groups and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or criminal history, in accordance with applicable local, state, and/or federal laws. Ready to make your mark? Join PostGrid’s tight-knit, high-energy team and build technology that powers global offline communications. With competitive pay, flexible work, and a learning-obsessed culture, you’ll ship bold ideas fast and see your impact instantly. Hungry for challenge and craftsmanship? Apply today and help us reinvent how the world connects beyond the inbox.

Join OCI to design and deliver cloud-scale DDoS protection as part of our edge security platform. You’ll design and ship high-performance detection and mitigation systems, automate operations end-to-end, and help define the technical foundation for customer-facing DDoS capabilities. Basic qualifications • 6+ years building production backend systems (at least 3 years in high-scale or low-latency environments)., • Proficiency in one or more: Java/Python/C++/Rust/Go, • Strong preference for Java for control-plane/services., • Strong systems design skills: concurrency, memory management, performance tuning, API design, and distributed systems fundamentals., • Experience with DevOps at scale: CI/CD, automated testing, canarying, rollout/rollback, and configuration management., • IaC expertise (e.g., Terraform) and solid cloud infrastructure fundamentals., • Familiarity with DDoS or network security services and related attack/defense patterns., • Solid networking knowledge: TCP/IP, IPv4/IPv6, BGP fundamentals; DNS/DHCP understanding., • Observability experience (metrics, tracing, alerting) and operational excellence mindset. Preferred qualifications • Experience with anycast routing, traffic steering, and multi-region service readiness., • Exposure to SDN, programmable data planes, or hardware mitigation platforms., • Advanced telemetry/streaming pipelines for near-real-time detection (e.g., high-rate packet/flow analytics)., • Background in resilience engineering, chaos testing, and capacity planning at hyperscale., • Containerization/orchestration experience and secure service-to-service communication (mTLS, policy)., • Familiarity with zero trust principles, segmentation, and modern security architectures. How you’ll have impact • Ship core DDoS detection/mitigation capabilities that protect OCI’s Tier 0 availability., • Enable new customer-facing DDoS offerings with self-service policy and visibility., • Raise engineering quality, automation, and compliance maturity across the stack. Ways of working • Security and privacy by design; auditable controls and policy adherence from day one., • Data-driven delivery with clear KPIs, SLOs, and stage gates from prototype to GA., • Collaborative, inclusive engineering culture with code reviews, design docs, and knowledge sharing. What you’ll do • Design and build low-latency backend services for DDoS detection, classification, and mitigation across OCI’s global edge., • Implement scalable data and control planes (policy, signaling, telemetry, orchestration) with strong fault isolation and resiliency., • Develop traffic engineering capabilities (anycast, BGP signaling, routing policy) and integrate with OCI networking, DNS, and edge services., • Own operational readiness: SLOs/SLAs, on-call health, incident response, runbooks, and post-incident improvements., • Build automation-first workflows: CI/CD pipelines, test frameworks, canary/blue-green releases, and infrastructure-as-code., • Create robust observability (metrics, logs, traces) and capacity/scale modeling for high-throughput, high-availability systems., • Partner with product, SRE, and network engineering to deliver roadmap features from concept to GA with security-by-design., • Contribute to threat modeling, architecture reviews, and compliance/audit readiness for Tier 0 services.

Salary: £65,000 - £70,000 Important A CV and a short cover letter are required for this role. Applications submitted without both will not be reviewed. If you are unable to attach a cover letter via LinkedIn, please email it to , including your name, the role title, and confirmation that you have applied via LinkedIn in the subject line. About iQ HealthTech At iQ HealthTech, we are dedicated to improving healthcare outcomes through innovative technology. Our flagship product, iQemo, supports safer and more efficient electronic systemic anticancer treatment (SACT) prescribing and is used by the NHS, and private healthcare providers in the UK, Australia and beyond. As we continue to expand into new regions, our systems are built to operate in complex, regulated healthcare environments worldwide. Our systems support clinicians making critical decisions every day. Reliability, clarity and thoughtful engineering matter here. As we grow into new regions, we design our platforms to scale across jurisdictions, healthcare models and regulatory expectations without losing focus on quality or safety. Role Summary We’re looking for a Senior .NET Developer who can independently deliver high-quality software and play a key role in replacing legacy .NET Framework systems with a modern, fully distributed architecture. This is a hands-on role for someone who takes ownership of features from idea through to completion, communicates clearly, and focuses on delivering tangible value. You will work closely with other Senior Developer, the Lead Developer, and our Software Architect. We are also beginning to introduce AI-assisted and agentic coding practices, and Senior Developers will play an important role in adopting these tools thoughtfully. Why Join Us? • Fully remote role with flexible working options, • Personal development plans, including a professional development/training budget, • 25 paid holiday days plus bank holidays (your birthday off too!), • Enhanced maternity and paternity pay, • 4% employer contribution to company pension scheme, • Access to wellbeing apps, • Government-set working from home monthly allowance, • An opportunity to make a real difference by developing technologies that improve patient outcomes, • Paid out-of-hours developer support rota once onboarded, • Competitive salary with regular reviews and opportunities for growth, • Work with innovative systems serving both national private providers and the NHS Duties and responsibilities • Owning features end to end, from concept to production., • Building modern .NET systems within a distributed architecture., • Collaborating with the Lead Developer and Software Architect on implementation., • Writing clean, secure, well-tested, and maintainable code., • Identifying gaps in knowledge and proactively addressing them., • Participating constructively in code reviews and technical discussions., • Using AI-assisted and agentic coding tools responsibly., • Working effectively in a fully remote team., • Participating in a paid out-of-hours developer support rota once fully onboarded. Key Skills Essential Technical Skills • Strong experience with .NET and C#., • Experience working with legacy .NET Framework systems., • Strong experience with modern .NET (6+)., • Good understanding of distributed systems and modern architectures., • Ability to deliver features independently from start to finish., • Strong problem-solving skills and attention to quality., • Clear communication and collaborative mindset. Essential Personal Attributes • Analytical thinker with strong problem-solving skills, • Clear and confident communicator who works well in collaborative teams, • Excellent written and spoken English is essential for this role., • Self-motivated, detail-focused, delivery-oriented, • Committed to writing clean, maintainable code and delivering high-quality software, • Curious and invested in continuous learning Desirable but not essential • Knowledge of iQemo or healthcare/medical device systems, • Understanding of medical regulations or e-prescribing workflows, • Understanding of HL7 and FHIR. Our Recruitment Process We’re committed to maintaining a safe and compliant workforce. The successful applicant will be appointed subject to satisfactory references and a basic DBS check. Applicants must have the legal right to live and work in the UK; we are unable to offer sponsorship. How to apply Please submit your CV with a short cover letter telling us why you’re interested in joining iQ HealthTech and how your skills fit this role. We use the cover letter to understand your motivation and approach, so applications without one won’t be reviewed. Please complete all follow-up questions to progress to the next stage. Take this opportunity to join iQ HealthTech and contribute to technology that transforms patient care. Apply now and be part of a team driving real innovation in healthcare.

🖥️ Rust Engineer 🙌 Mid/Senior 🇬🇧 100% Remote in UK 💷 £50,000 - £100,000 (Permanent) + Equity + Benefits A UK-based Startup (<10 people) is looking to grow its engineering team by 1-2 Mid/Senior Rust Engineers. They have a lot of runway and long list of major clients but are looking to keep up with the growing demand, not only by 'shipping fast' features which are easily broken, but by building with quality and testing robustly. You'll build a cutting-edge platform to simplify complex business areas, helping influence leaders' decisions as you help remove the dependence on spreadsheets like Excel and outdated tech, which currently plagues the industry. With a high focus on autonomy and trust, you'll be able to take ownership of brand new features and components from system design to implementation while still having a team to assist and support as you grow into the role. Requirements • 5+ years of Engineering experience, • 2+ Years working with Rust, • Experience building high-performance, high-volume Rust applications (working with distributed systems / high-throughput / gRPC), • Experience working with concurrency and memory-management strategies. Benefits • A priority focus on Work-Life Balance (no expectation of working weekends or long hours - we're not pushing last-minute deadlines and overworking, we're hiring with strategy and purpose), • Salary from £50k - £100k, • 30 days holiday + local national holidays, • Flexible Hours, • Equity, • Remote working, • Home equipment set up

Senior Rust Engineer (High-Frequency Trading) Contract Length: 6 months (with potential extension) Location: London (4 days per week onsite) Day Rate: Up to £800 (Outside IR35) We’re looking for an experienced Senior Rust Engineer to take ownership of a greenfield high-frequency trading (HFT) platform, leading the development of the execution layer and market-making system. You’ll step into a technical leadership role, driving architecture, improving performance, and ensuring the system is built to world-class standards. If you’ve built ultra-low-latency trading systems before and want to take full responsibility for a new Rust-based platform, this is an opportunity to shape a high-impact project from the ground up. Key Experience Needed • Extensive experience designing and developing high-frequency trading systems, • Strong experience working on Rust with a track record of building low-latency, high-throughput production systems, • Proven ability to lead the build of execution engines, market-making platforms, or similar low-latency trading infrastructure, • Strong background in system architecture, performance optimisation, and fault-tolerant distributed systems, • Experience replacing or migrating systems from languages such as Python into Rust, • Comfortable taking full ownership of a greenfield project with minimal guidance (Self Starter), • Strong collaboration attitude across engineering teams, • Flexible with working remotely but still keen to head into the office when necessary Key Responsibilities • Own and drive the development of the execution layer and market-making components of the HFT platform, • Architect, design, and implement ultra-low-latency Rust systems from first principles, • Improve, refactor, and optimise the existing codebase to meet best-in-class performance standards, • Replace or modernise existing Python-based components where appropriate, • Collaborate with cross-functional teams to deliver an integrated, production-ready trading system, • Lead technical decision-making, architecture discussions, and coding standards for Rust development, • Ensure seamless integration with UI and supporting engineering teams, • Contribute to rapid iteration, debugging, and refinement through close in-office collaboration Senior Rust Engineer (High-Frequency Trading) Contract Length: 6 months (with potential extension) Location: London (4 days per week onsite) Day Rate: Up to £800 (Outside IR35) Please reach out to for more information on this role. Apply with your up to date CV for consideration.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively., • Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • Hands-on experience in Docker for Production deployment., • Proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred). Nice to Have: • Experience building Agentic applications, • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: • Work in a fully remote environment, • Opportunity to work on cutting-edge AI projects with leading LLM companies Offer Details: • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST, • Employment type: Contractor assignment (no medical/paid leave), • Duration of contract: 2 months; [expected start date is next week], • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) Evaluation Process (approximately 120 mins): • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Java Developer – High-Performance Trading Systems - Fully Remote - up to £100k base About the Company We’re a fast-growing proprietary trading firm operating across multiple global cryptocurrency exchanges. Founded by a team with deep experience in financial markets and algorithmic trading, we’ve already achieved top-tier market-maker status, handling trading volumes exceeding $100M per month — all within our first six months of operation. About the Role We’re looking for a talented Java Developer to join our small, high-performing engineering team. You’ll play a key role in expanding our trading infrastructure, integrating new exchanges, and building scalable, low-latency systems that power our trading strategies. This is an opportunity to work on cutting-edge systems in a start-up environment where your work has a direct and measurable impact. Key Responsibilities • Develop and maintain high-performance backend services in Java, • Deploy code to production frequently in a fast-paced, agile environment, • Build scalable, event-driven systems handling large volumes of real-time data, • Take ownership of your code — from design through deployment and ongoing support, • Contribute to continuous improvement of engineering standards and practices Qualifications & Experience • Degree in a STEM subject or equivalent hands-on experience, • 2+ years of Java programming experience, • Experience with message-passing technologies (e.g., Aeron, SBE), • Strong understanding of event-driven and microservice architectures, • Exposure to large-scale distributed systems and high-throughput environments, • Passion for clean, maintainable code and solid engineering principles Why Join Us? • Work with a technically elite team in a growing trading business, • Have real influence on the technology direction and company growth, • Gain hands-on exposure to cutting-edge systems and crypto market-making

C++, Java)You have a strong knowledge of modern software engineering best practices and have experience across the full software development lifecycleYou're a technologist who enjoys collaborating and problem solving, working on complex, distributed systemsYou have a thorough understanding of Comput

Senior Data Engineer (Contract) Location: UK (Remote / Hybrid) Contract Type: Contract (Outside IR35) Role Overview We are seeking a Senior Data Engineer (Contract) to support the delivery of secure, business-critical data platforms within high-assurance, regulated environments. The role focuses on designing and implementing resilient data pipelines and integration services that enable controlled data sharing across complex, multi-domain systems, while maintaining strong standards of security, governance, and compliance. The successful contractor will operate at a senior technical level, contributing to platform design, assuring engineering quality, and supporting delivery in environments where data integrity, availability, and access control are essential. Key Responsibilities • Design, build, and maintain secure, scalable data pipelines and integration services, • Engineer data solutions that support controlled data access across complex domains, • Develop production-grade code aligned with secure-by-design principles, • Model complex datasets to support interoperability and governed access, • Integrate data from diverse sources, including legacy and operational systems, • Implement fine-grained access controls, data classification, and governance mechanisms, • Support deployment and operation of data services across cloud, on-premise, and hybrid environments, • Collaborate with architects, security specialists, and delivery teams, • Contribute to design reviews and technical decision-making, • Ensure performance, resilience, and observability of data platforms, • Produce and maintain clear technical documentation Required Skills & Experience • Extensive experience operating as a Senior Data Engineer on complex, enterprise-scale platforms, • Strong programming capability in Python, • Commercial experience with Java and/or Scala, • Advanced SQL and strong data modelling skills, • Proven experience designing and operating ETL / ELT pipelines at scale, • Solid understanding of distributed systems and data platform architecture, • Experience with at least one major cloud platform (AWS, Azure, or GCP), • Experience with containerisation and orchestration (Docker, Kubernetes), • Familiarity with CI/CD pipelines and modern DevOps practices Experience in Regulated Environments • Experience delivering data solutions in regulated or high-assurance settings, • Understanding of security-focused architectures such as least-privilege access, • Experience implementing data governance, classification, and policy-driven access controls, • Comfortable operating in environments with formal assurance, audit, and compliance requirements, • Able to handle sensitive information in line with contractual and organisational standards Desirable Experience • Knowledge of semantic data, knowledge graphs, or graph databases, • Experience with RDF, SPARQL, or ontology-based data models, • Familiarity with controlled or cross-domain data sharing patterns, • Experience with Infrastructure-as-Code (e.g. Terraform, CloudFormation), • Exposure to open-source data platforms or frameworks Contractor Profile • Able to deliver independently with minimal supervision, • Comfortable working within structured delivery frameworks, • Strong analytical and problem-solving skills, • Clear communicator with both technical and non-technical stakeholders, • Pragmatic, delivery-focused, and quality-driven Additional Information Due to the nature of the work, candidates must be eligible to pass background and suitability checks as part of the engagement.

Senior Machine Learning Engineer (Generative AI / LLMs) Location: Fully Remote (UK-based) Salary: £75,000 – £100,000 (depending on experience) The Role We’re hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google’s AI ecosystem. You’ll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM-powered products. What You’ll Be Doing • Design, develop, and deploy advanced machine learning and deep learning models into production., • Architect scalable LLMOps pipelines on GCP / Vertex AI, including fine-tuning, vector search, and low-latency inference., • Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering., • Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety., • Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling., • Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions., • Monitor, optimise, and continuously improve models in live production environments., • Contribute to the architecture and evolution of the AI platform and supporting data infrastructure., • Stay current with emerging research, tools, and best practices across ML and Generative AI. What We’re Looking For Essential • 5+ years’ experience in machine learning engineering or applied AI roles., • Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems., • Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI., • Experience with vector databases and retrieval-based architectures., • Proven experience designing and operating large-scale ML systems in production., • Strong experience with GCP Vertex AI (or equivalent cloud ML platforms)., • Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git., • Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have • Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use)., • Familiarity with LLM evaluation frameworks such as RAGAS or TruLens., • Experience fine-tuning large models or working with reinforcement learning techniques., • Background in mathematics, statistics, or theoretical computer science., • Understanding of data governance, bias mitigation, or model interpretability. Why Join • Work on real, production-grade GenAI systems with clear business impact., • High autonomy and ownership in a senior, hands-on engineering role., • Fully remote working with a collaborative, distributed team., • Opportunity to influence architecture and long-term technical direction., • Competitive salary up to £100k, plus benefits.

A global consulting firm in the United Kingdom is looking for an experienced Principal Heat Network Consultant to oversee and advise on heat network projects and distributed energy solutions.